ASUS System Product Name
Geekbench AI Score
39421
Single Precision Score
54341
Half Precision Score
29159
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Tronado |
| Upload Date | September 18 2024 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14390
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
19325
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
12097
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23240
376.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29053
471.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22231
361.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
323821
377.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
555680
648.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
281009
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
19953
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
25777
2.04 KIPS |
|
|
Object Detection (Q)
|
89% |
15752
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
52865
628.1 IPS |
|
|
Face Detection (HP)
|
100% |
64107
761.7 IPS |
|
|
Face Detection (Q)
|
97% |
43651
520.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
96125
740.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
163429
1.26 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69239
558.5 IPS |
|
|
Style Transfer (SP)
|
100% |
590117
758.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1150551
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
503941
649.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62638
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83935
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46280
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2322
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5550
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5497
94.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2281
50.9 IPS |
